The analysts are in the field of "knowledge". Intelligence refers to knowledge and the types of problems addressed are knowledge problems. So, we need a concept of work based on knowledge. We need a basic understanding of what we know and how we know, what we do not know, and even what can be known and what is not known. The analysis should provide a useful basis for conceptualizing intelligence functions, of which the most important are "estimation" and "prediction". The intelligence itself, in its basic form, has a decision-making function. Intelligence analysis applies individual and collective cognitive methods to assess data and test assumptions in a secret socio-cultural context.

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Intelligence Analysis

Craig Hughes · 2025

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Intelligence Analysis

Wayne Michael Hall, Gary Citrenbaum · 2009

<JATS1:p>This book offers a vast conceptual and theoretical exploration of the ways intelligence analysis must change in order to succeed against today's most dangerous combatants and most complex irregular theatres of conflict.</JATS1:p> <JATS1:p>Intelligence Analysis: How to Think in Complex Environments fills a void in the existing literature on contemporary warfare by examining the theoretical and conceptual foundations of effective modern intelligence analysis—the type of analysis needed to support military operations in modern, complex operational environments. This volume is an expert guide for rethinking intelligence analysis and understanding the true nature of the operational environment, adversaries, and most importantly, the populace.</JATS1:p> <JATS1:p>Intelligence Analysis proposes substantive improvements in the way the U.S. national security system interprets intelligence, drawing on the groundbreaking work of theorists ranging from Carl von Clauswitz and Sun Tzu to M. Mitchell Waldrop, General David Petraeus, Richards Heuer, Jr., Orson Scott Card, and others. The new ideas presented here will help the nation to amass a formidable, cumulative intelligence power, with distinct advantages over any and all adversaries of the future regardless of the level of war or type of operational environment.</JATS1:p>

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Intelligence Analysis

Vida, Csaba · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2016

In this brief study the author – who teaches the intelligence analysis at the National\nUniversity of Public Service – elaborates the basics of intelligence analysis, and gives an\noverview of the analysing activity. The study concludes that the intelligence analysis is a\nscience-based assessment of a theoretical activity, and the problem solving is in its focus\npoint.

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Intelligence Analysis

Adam Tilmar Jakobsen · 2024

This chapter covers the various stages of the intelligence process. Intelligence analysis involves collecting and analyzing data from various sources, such as human intelligence, signals intelligence, open-source information, and other types of data, to provide insights and inform decision-makers. The intelligence life cycle is a framework that outlines the various stages involved in the process of collecting, analyzing, and disseminating intelligence. The typical stages of the intelligence process life cycle include: planning and direction, collection, processing, analysis, dissemination, and evaluation and feedback. Cyber threat intelligence frameworks are conceptual structures that allow us to organize and understand data, by providing a way to structure complex information, thereby making it easier to understand and manage information. The chapter focuses on the two models used for analyzing a cyber incident: the cyber kill chain and the diamond models.

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Artificial intelligence for intelligence analysis

Leonardo Sebastian Goodall, Petter Törnberg, Julia Ebner et al. · 2026

Preventing and countering violent extremism (P/CVE) research has long relied on profiling approaches that draw on demographic variables, ideological labels, and observable late-stage behaviours. These strategies have consistently performed poorly, and their limitations are further exposed in contemporary digital environments, where ideological identities are fluid, most individuals who engage with extremist content never mobilise, and a highly fragmented ideological landscape frustrates stable categorisation. In parallel, psychological research has identified mechanisms that help explain why only a minority escalate to violence, yet these mechanisms remain difficult to operationalise and test at scale. This Perspective argues that recent advances in artificial intelligence—broadly defined to include statistical learning, generative modelling, and decision-oriented optimisation—provide tools to close this operational gap when explicitly aligned with psychological theory. At the individual level, machine learning, natural language processing, and large language models enable measurement and forecasting from heterogeneous digital traces. At the interpersonal level, graph-based approaches may capture influence dynamics, exposure pathways, and the evolution of extremist social milieus. At the collective level, agent-based simulations and field experiments support explanatory and counterfactual analysis of mobilisation processes. We advance a hybrid research agenda that prioritises theory testing, mechanism evaluation, and carefully bounded intervention analysis over automated individualised profiling, advancing a more mechanistic, empirically grounded, and scalable science of P/CVE.

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Guides: Intelligence Analysis: Intelligence Organizations

Jill Spreitzer · 2017

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LibGuides: Crime & Intelligence Analysis: Processing Intelligence

Shannon Simmons · 2018

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Intelligence Functions: Analysis

Byman, Daniel · DigitalGeorgetown (Georgetown University Library) · 2014

Intelligence Functions: Analysis

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Analysis of Intelligence

Scott D. Breckinridge · 2019

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Understanding Intelligence Analysis

Jan Goldman · International Journal of Intelligence and CounterIntelligence · 2019

"Understanding Intelligence Analysis." International Journal of Intelligence and CounterIntelligence, 32(4), pp. 852–853

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Professionalizing Intelligence Analysis

James Bruce, Roger Z. George · Journal of Strategic Security · 2015

This article examines the current state of professionalism in national security intelligence analysis in the U.S. Government. Since the introduction of major intelligence reforms directed by the Intelligence Reform and Terrorism Prevention Act (IRTPA) in December, 2004, we have seen notable strides in many aspects of intelligence professionalization, including in analysis. But progress is halting, uneven, and by no means permanent. To consolidate its gains, and if it is to continue improving, the U.S. intelligence community (IC) should commit itself to accomplishing a new program of further professionalization of analysis to ensure that it will develop an analytic cadre that is fully prepared to deal with the complexities of an emerging multipolar and highly dynamic world that the IC itself is forecasting. Some recent reforms in intelligence analysis can be assessed against established standards of more fully developed professions; these may well fall short of moving the IC closer to the more fully professionalized analytical capability required for producing the kind of analysis needed now by the United States.

Cited by 5Open access

Intelligence competitor analysis

Zalabová, Annemarie · Brno University of Technology Digital Library (Brno University of Technology) · 2017

Tato diplomová práce pojednává o využití metod Competitive Intelligence na případu konkrétní firmy. Práce si klade za cíl vylepšit stávající proces získávání informací o konkurenci a jejich využití při strategickém rozhodování vedení společnosti pomocí metod CI. V úvodní části práce je analyzována současná situace společnosti XYZ a definování problému k následnému řešení. Další část se věnuje obecným teoretickým předpokladům a představení různých metod a přístupů k řešení. Posléze následuje aplikační část práce, ve které je aplikována vybraná metoda Competitive Intelligence pro potřeby dané firmy. Závěrem je výsledný návrh řešení problematiky zhodnocen a jsou uvedeny přínosy, které tato implementace firmě přinesla.

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Quantitative Intelligence Analysis

Edward Waltz · Rowman & Littlefield Publishers eBooks · 2014

<JATS1:p>Quantitative Intelligence Analysis describes the model-based method of intelligence analysis that represents the analyst’s mental models of a subject, as well as the analyst’s reasoning process exposing what the analyst believes about the subject, and how they arrived at those beliefs and converged on analytic judgments. It includes: Specific methods of explicitly representing the analyst’s mental models as computational models;dynamic simulations and interactive analytic games;the structure of an analyst’s mental model and the theoretical basis for capturing and representing the tacit knowledge of these models explicitly as computational models detailed description of the use of these models in rigorous, structured analysis of difficult targets;model illustrations and simulation descriptions;the role of models in support of collection and operations;case studies that illustrate a wide range of intelligence problems;And a recommended curriculum for technical analysts.</JATS1:p>

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